Abstract:In this paper we discuss the architecture and the processes for Resource Description Framework (RDF) based Linked Open Data as a Service (LODaaS), considering practical use cases. LODaaS is different from the usual Linked Data Platform (LDP) or Data Warehouse (DW), and as such, has to consider its own stakeholders and the processes of data publishing and consuming based on agreed ontology schema. The datasets should be transformed, published and consumed following the schema so that datasets could be shared, linked together and queried by 3rd party services without difficulty regarding data structures and queries. We implemented the Personalized and Localized Urban Quality Index (PLUQI) application for a data consumption use case, utilizing DaPaaS as a LODaaS platform. To implement this, s we designed an ontology schema, collected and published the datasets into the DaPaaS platform and reused these via the endpoint for PLUQI web service.